web-research
Develops and saves research plans, organizing all research files into dedicated folders. This AI Agent Skill enhances work efficiency and automation.
npx skills add langchain-ai/deepagents --skill web-researchBefore / After Comparison
1 组When conducting online research without a clear plan and organization, it often leads to information overload, repetitive searches, difficulty in filtering effective information, resulting in low-quality and time-consuming research outcomes.
By utilizing network research skills, one can systematically create research plans, organize all research files in dedicated folders, and break down research questions, thereby improving research efficiency and ensuring high-quality, well-structured research outcomes.
description SKILL.md
web-research
Web Research Skill
Research Process
Step 1: Create and Save Research Plan
Before delegating to subagents, you MUST:
Create a research folder - Organize all research files in a dedicated folder relative to the current working directory:
mkdir research_[topic_name]
This keeps files organized and prevents clutter in the working directory.
Analyze the research question - Break it down into distinct, non-overlapping subtopics
Write a research plan file - Use the write_file tool to create research_[topic_name]/research_plan.md containing:
The main research question
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2-5 specific subtopics to investigate
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Expected information from each subtopic
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How results will be synthesized
Planning Guidelines:
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Simple fact-finding: 1-2 subtopics
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Comparative analysis: 1 subtopic per comparison element (max 3)
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Complex investigations: 3-5 subtopics
Step 2: Delegate to Research Subagents
For each subtopic in your plan:
Use the task tool to spawn a research subagent with:
Clear, specific research question (no acronyms)
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Instructions to write findings to a file:
research_[topic_name]/findings_[subtopic].md -
Budget: 3-5 web searches maximum
Run up to 3 subagents in parallel for efficient research
Subagent Instructions Template:
Research [SPECIFIC TOPIC]. Use the web_search tool to gather information.
After completing your research, use write_file to save your findings to research_[topic_name]/findings_[subtopic].md.
Include key facts, relevant quotes, and source URLs.
Use 3-5 web searches maximum.
Step 3: Synthesize Findings
After all subagents complete:
Review the findings files that were saved locally:
First run list_files research_[topic_name] to see what files were created
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Then use
read_filewith the file paths (e.g.,research_[topic_name]/findings_*.md) -
Important: Use
read_filefor LOCAL files only, not URLs
Synthesize the information - Create a comprehensive response that:
Directly answers the original question
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Integrates insights from all subtopics
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Cites specific sources with URLs (from the findings files)
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Identifies any gaps or limitations
Write final report (optional) - Use write_file to create research_[topic_name]/research_report.md if requested
Note: If you need to fetch additional information from URLs, use the fetch_url tool, not read_file.
Best Practices
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Plan before delegating - Always write research_plan.md first
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Clear subtopics - Ensure each subagent has distinct, non-overlapping scope
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File-based communication - Have subagents save findings to files, not return them directly
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Systematic synthesis - Read all findings files before creating final response
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Stop appropriately - Don't over-research; 3-5 searches per subtopic is usually sufficient
Weekly Installs881Repositorylangchain-ai/deepagentsGitHub Stars14.3KFirst SeenJan 22, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykWarnInstalled onopencode792codex769gemini-cli764github-copilot719cursor711kimi-cli664
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